DRCTV
by DirectiveIO
AI-driven automation that keeps your Azure infrastructure running smoothly.
A DRCTV is a suite of dynamic automation capabilities that continuously sustain and improve Azure workloads after deployment. It ingests observability data and ITSM tickets at scale, correlates them into actionable insight, and generates tested fixes that engineers can safely approve. This provides an adaptive, intelligence driven layer that replaces static automation with continuous improvement.
DRCTVs help cloud teams and Azure partners reduce operational burden while increasing performance, security, reliability, compliance, and cost efficiency. As customer environments evolve, each DRCTV learns from new patterns and automatically adjusts its recommendations, ensuring that deployments remain healthy without increasing headcount or requiring constant manual oversight.
Core capabilities included in the suite
- Ingest logs, metrics, traces, alerts, and ITSM tickets
- Correlate signals across distributed systems to identify root causes
- Detect drift, misconfigurations, bottlenecks, cost leaks, and exposure paths
- Generate tested, safe to approve fixes for engineers
- Continuously adapt as the environment changes
Business outcomes
- Stronger customer satisfaction and retention
- Lower cloud spend through proactive optimization
- Reduced engineering and help desk workload
- Improved performance, security, and operational stability
- Faster delivery cycles because teams can focus on new projects
A DRCTV enables Azure consultancies, MSPs, and enterprise cloud teams to delegate sustainability and transformation at their discretion, ensuring that environments remain optimized without requiring additional staff or operational overhead.